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DX-AllSuite Release Notes

This page summarizes the key changes and improvements for each DX-AllSuite release. For detailed per-component change logs, refer to the individual SDK sections.

DX-All-Suite v2.3.3 / 2026-05-14​

  • DX-Compiler: v2.3.1
    • DX-COM: v2.3.0
    • DX-TRON: v2.0.1
  • DX-Runtime: v2.3.3
    • DX_FW: v2.5.6
    • NPU Driver: v2.4.1
    • DX-RT: v3.3.2
    • DX-Stream: v3.0.1
    • DX-APP: v3.1.1

Here are the DX-All-Suite v2.3.3 Release Note.

What's New?​

This hotfix release resolves a missing Debian package file issue in dx_rt_npu_linux_driver. (v2.4.1, packaging fix only).

DX-All-Suite v2.3.2 / 2026-05-11​

  • DX-Compiler: v2.3.1
    • DX-COM: v2.3.0
    • DX-TRON: v2.0.1
  • DX-Runtime: v2.3.2
    • DX_FW: v2.5.6
    • NPU Driver: v2.4.1
    • DX-RT: v3.3.2
    • DX-Stream: v3.0.1
    • DX-APP: v3.1.1

Here are the DX-All-Suite v2.3.2 Release Note.

What's New?​

This patch release focuses on Debian package and Python build improvements in DX-RT.

  • DX-RT Build Quality: Removed redundant build artifacts from the Debian package, improved Python extension module linking, and added conditional pip upgrade for legacy OS compatibility.

Key Updates​

Stability & Fixes

  • DX-RT: Improved Python extension module linking for _pydxrt build.

New Features & Tools

  • DX-RT: Removed redundant build artifacts and temporary directories from the Debian package.
  • DX-RT: Added conditional pip upgrade (v21.3+) to ensure build stability on legacy OS environments.

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v2.3.1 / 2026-05-06​

  • DX-Compiler: v2.3.1
    • DX-COM: v2.3.0
    • DX-TRON: v2.0.1
  • DX-Runtime: v2.3.1
    • DX_FW: v2.5.6
    • NPU Driver: v2.4.1
    • DX-RT: v3.3.1
    • DX-Stream: v3.0.1
    • DX-APP: v3.1.1

Here are the DX-All-Suite v2.3.1 Release Note.

What's New?​

This patch release focuses on stability improvements, documentation corrections, license compliance, and firmware stability across the DX-Compiler installer, DX-Runtime, and DX-Stream modules.

  • Installer Fix (DX-Compiler): uninstall.sh now properly removes all installed packages and extracted module directories, and supports a new --target option for selective uninstallation.
  • Runtime Compatibility (DX-RT): Updated pre-built library versions (onnxruntime, openvino) for improved compatibility.

Key Updates​

Stability & Fixes

  • DX-Compiler Installer: Fixed uninstall.sh not removing installed packages (dx_com via pip3 uninstall) and the dxtron Debian package (apt-get remove), and not deleting extracted dx_com/ and dx_tron/ directories.
  • DX-RT: Updated pre-built onnxruntime (1.23.2 → 1.22.0) and openvino (25.4 → 25.1) for improved compatibility.
  • DX-Stream: Fixed uninstall not removing apps build directories and pydxs build cache.

New Features & Tools

  • DX-Compiler Installer: Added --target=<dx_com|dx_tron|all> option to uninstall.sh (default: all), consistent with install.sh.
  • DX-APP & DX-Stream: Added license information for third-party models and datasets.

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v2.3.0 / 2026-04-10​

  • DX-Compiler: v2.3.0
    • DX-COM: v2.3.0
    • DX-TRON: v2.0.1
  • DX-Runtime: v2.3.0
    • DX_FW: v2.5.6
    • NPU Driver: v2.4.1
    • DX-RT: v3.3.0
    • DX-Stream: 3.0.0
    • DX-APP: v3.1.0

Here are the DX-All-Suite v2.3.0 Release Note.

What's New?​

This major release focuses on Runtime Efficiency, Security Hardening, and a Unified Application Architecture. Significant optimizations in the YOLO post-processing pipeline and a major overhaul of the DX-Stream architecture make this our most robust release to date.

  • TopK-Optimized YOLO Pipeline: DX-COM v2.3.0 introduces a high-efficiency post-processing pipeline for DFL-based YOLO models, applying TopK filtering before decoding to drastically reduce CPU overhead.
  • Modular & Sudo-less DX-Stream (v3.0.0): A complete architectural refresh of the streaming module, featuring a new kernel abstraction for hardware backends and a user-friendly installation that no longer requires root privileges.
  • Unified APP Framework: DX-APP v3.1.0 establishes a strict 5-layer design pattern, ensuring 1:1 parity between C++ and Python implementations for seamless cross-language development.
  • Enterprise Linux Support: DX-COM validation has expanded to include Fedora 42–45, Red Hat 9–10, and CentOS Stream 9–10.

Key Updates​

Performance & Efficiency

  • DFL Post-Processing: Optimized pipeline for YOLO models decoder reduces CPU workload by filtering candidates via TopK before bounding box decoding.
  • NPU Latency: Reduced inference latency for the majority of supported models through compiler optimizations.
  • Zero-Copy Streaming: DX-Stream now supports DMA-Buffer zero-copy in RGA and DXOSD, reducing memory bandwidth usage.
  • CPU Acceleration: Introduced optional build-time features for CPU-bound operation acceleration in the runtime.

Stability & Fixes

  • Hardware Compatibility: Fixed 64-bit PCIe TLP errors on Raspberry Pi 4 and resolved ARM64 IOMMU DMA coherency bugs.
  • Multi-Device Handling: Fixed PPU data transfer errors and IPC exceptions occurring in multi-process/H1/multi-M.2 environments.
  • Robustness: Implemented DMA abnormal recovery for improved system resilience and fixed PPU safety via 2-cell memory alignment.
  • Power Saving: Re-enabled run mode NPU and hardened devMode race.

New Features & Tools

  • Expanded AI Tasks: Added native support for Depth Estimation (FastDepth) and Image Restoration (DnCNN, Zero-DCE, ESPCN).
  • Massive Model Zoo: Integrated 280+ models across 17 categories with 560+ examples, supported by a new manifest-based auto-download system.
  • Development Tools: Added dxtop for No-Service Mode monitoring and new GStreamer elements (DxScale, DxConvert) for HW-accelerated scaling and color conversion.

Known Issues​

  • PReLU Activation: Significant FPS degradation persists in models using PReLU activation functions.
  • Accuracy Variability: Certain models (OSNet, RepVGGA2, YoloV9C) may show accuracy variability depending on the host CPU and calibration dataset.

Migration Guide​

  • DX-Stream v3.0.0 (Breaking Change): Users must move environment variables from /etc/profile.d/ to ~/.bashrc. Models are now managed via dx-modelzoo; run setup_sample_models.sh to update.
  • DX-APP v3.1.0: Project structures have changed to follow the 5-layer pattern. Refer to the new src/ directory for updated implementation standards.
  • Minimum Dependencies: DX-RT v3.3.0 now requires NPU Driver v2.4.0+ and Firmware v2.5.2+ at a minimum.

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v2.2.2 / 2026-02-26​

  • DX-Runtime: v2.2.2
    • DX-APP: v3.0.2
    • DX-STREAM: v2.2.1
  • DX-Compiler v2.2.1
    • DX-COM: v2.2.1

Here are the DX-All-Suite v2.2.2 Release Notes.

What's New?​

This release enhances the development experience with GPU-accelerated quantization and improved Windows platform support.

  • GPU-Accelerated Quantization: DX-COM now supports GPU quantization via JSON configuration with automatic GPU detection, significantly speeding up the compilation process.
  • Enhanced Windows Support: Improved Windows build stability with automated vcpkg installation and fixed compatibility issues.

Key Updates​

Performance & Efficiency

  • GPU Quantization: Added quantization_device support in JSON configuration for CLI-based GPU quantization. Automatic GPU detection falls back to CPU when CUDA is unavailable.
  • Windows Build: Automated DLL copying (dxrt, vkpkg) to dx-app/bin directory and added vcpkg installation script for streamlined Windows builds.

Stability & Fixes

  • Fixed DXQ enhanced quantization option bugs in DX-COM.
  • Fixed PPU compilation bug in Python Wheel Package for Python 3.8, 3.9, and 3.10.
  • Fixed an issue where compilation proceeded without error when invalid model input names were specified.
  • Removed experimental filesystem includes and updated float literals in example cpp files to resolve Windows build errors.
  • Refactored apply_argmax to reduce nesting and fix gcovr warnings.

Known Issues

  • Significant FPS degradation has been observed in models using PReLU as an activation function.

DX-All-Suite v2.2.1 / 2026-02-06​

  • DX-Runtime: v2.2.1
    • DX-APP: v3.0.1

Here are the DX-All-Suite v2.2.1 Release Note.

What's New?​

This release focuses on enhancing the YOLO ecosystem with expanded model variant support and improved flexibility in post-processing.

  • Extended YOLO26 Coverage: Full support for YOLO26 variants including classification, pose estimation, segmentation, and oriented bounding box detection.

Key Updates​

Stability & Fixes

  • Fixed hardcoded attribute size limitation in YOLO post-processing that could cause issues with models having different output configurations.

New Features & Tools

  • Add yolov26 cls, yolo26 pose, yolo26 seg, yolo26 obb examples

DX-All-Suite v2.2.0 / 2026-01-16​

  • DX-Compiler: v2.2.0
    • DX-COM: v2.2.0
    • DX-TRON: v2.0.1
  • DX-Runtime: v2.2.0
    • DX_FW: v2.5.0
    • NPU Driver: v2.1.0
    • DX-RT: v3.2.0
    • DX-Stream: v2.2.0
    • DX-APP: v3.0.0

Here are the DX-All-Suite v2.2.0 Release Note.

What's New?​

This release introduces a Python-Centric Ecosystem and a Complete Example Overhaul, making development more intuitive and integrated.

  • Python-First Workflow: DX-COM is now available via pip (Wheel), and new Python bindings (pydxs, dx_postprocess) allow for seamless metadata and post-processing management directly in Python.
  • Major DX-APP Refactoring (v3.0.0): Legacy demos have been replaced with a modern, task-oriented example system. This includes built-in support for the latest YOLO generations (v26, v10/v11/v12).
  • Expanded Hardware Acceleration: PPU (Post-Processing Unit) support has been extended to the newest YOLO models, further offloading CPU tasks to the NPU.
  • Advanced Resource Management: The introduction of NPU QoS (Quality of Service) and improved asynchronous handling ensures stable performance in multi-tasking environments.

Key Updates​

Performance & Efficiency

  • Extended PPU Support: Hardware-accelerated post-processing now supports YOLO26, YOLOv8, v9, v10, v11, and v12.
  • PCIe DMA Optimization: Reduced CPU dependency and improved sequence efficiency for high-speed data transfer (requires DX-RT SDK v3.2.0+).
  • Inference Reporting: Updated inf_time to include both NPU and PPU runtimes for realistic performance profiling.
  • Resource Prioritization: Added QoS to the NPU Scheduler to manage execution priority effectively.
  • Memory Footprint: Further reduced device memory usage for models utilizing PPU.

Stability & Fixes

  • PCIe Stability: Added PERST# signal wait during initial boot stage to ensure reliable link establishment.
  • Soft Lockup Prevention: Added sleep/reschedule logic in polling to prevent system hangs during slow hardware ACKs.
  • Stream Stability: Resolved race conditions and segfaults in secondary inference modes with shared buffers.
  • Model Accuracy: Fixed a known accuracy degradation issue in the DeepLabV3PlusMobilenet-1 model.
  • Code Robustness: Implemented global try-catch handling and improved argument validation across the application layer.

New Features & Tools

  • Installation & Deployment:
    • DX-COM Wheel: Install the compiler via pip for automated ML pipelines and Jupyter environments.
    • DX-TRON Debian: Added .deb package support for Ubuntu 20.04/22.04/24.04.
  • Development Tools:
    • YOLO26 Support: Integration of the latest Ultralytics model optimized for edge deployment.
    • RuntimeEventDispatcher: A new centralized C++/Python singleton for handling system events, errors, and warnings.
    • pydxs: New Python binding for managing Stream metadata (DXFrameMeta, DXObjectMeta, etc.).
  • Engine Capabilities: Enabled direct .dxnn model loading from memory buffers and per-instance I/O buffer configuration.
  • Testing Infrastructure: Established a Pytest-based E2E test system for DX-APP, achieving over 93% code coverage.

Known Issues

  • PReLU Degradation: Significant FPS drops may occur in models using PReLU activation functions.
  • PPU Conversion Gap: DX-Compiler v2.2.0 does not yet support converting face/pose models to PPU format (requires v1.0.0 for these specific tasks).
  • Breaking Changes: DX-APP v3.0.0 is not backward compatible with v2.x legacy demos or JSON configuration files.

Migration Guide

  • Example Transition: Move from the demos/ directory to the new src/cpp_example/ and src/python_example/ structures.
  • Configuration: Replace legacy JSON config files with the new Command-Line Argument system in Python (e.g., for YOLO26 execution).
  • Environment: Update your Python environment using the provided requirements.txt to support the new dx_engine and pydxs modules.

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v2.1.0 / 2025-11-28​

  • DX-Compiler: v2.1.0
    • DX-COM: v2.1.0
    • DX-TRON: v2.0.0
  • DX-Runtime: v2.1.0
    • DX_FW: v2.4.0
    • NPU Driver: v1.8.0
    • DX-RT: v3.1.0
    • DX-Stream: v2.1.0
    • DX-APP: v2.1.0

Here are the DX-All-Suite v2.1.0 Release Note.

What's New?​

This release marks a significant step forward with new features and major stability improvements across all core components.

  • PPU Acceleration Integrated: The Post-Processing Unit (PPU) is fully integrated into the compiler (DX-COM), runtime (DX-RT), and streaming (DX-Stream) layers. This allows the NPU to handle NMS/bounding box decoding for models like YOLO and SCRFD, drastically reducing CPU overhead.
  • Next-Gen Model Support: The entire stack now supports the new DXNN V8 file format and DXNNv8 PPU models (DX-RT and DX_FW), enabling the newest generation of AI applications.
  • Windows Ecosystem: Full support for Windows 10/11 has been added to the DX-APP layer, complete with automated build scripts, making cross-platform development easier.
  • Advanced Diagnostics & Profilers: New dedicated tools like the dxbenchmark, and GstShark integration provide comprehensive performance evaluation and optimization capabilities.

Key Updates​

Performance & Efficiency

  • PPU Integration (Full Stack): PPU functionality is reinstated in DX-COM and integrated into DX-Stream and DX-APP to offload post-processing tasks (NMS/decoding) from the CPU.
  • LPDDR Stability: DX_FW reduced the LPDDR Training Margin (0.7 -> 0.62) and added enhanced margin testing logic to boost system stability.
  • Runtime Performance: DX-Stream enhanced buffer processing via direct buffer manipulation and disabled synchronization in the video sink (secondary mode).
  • Optimization Tools: DX-COM added the --aggressive_partitioning option and optimization level control (--opt_level 1).
  • Asynchronous Processing: DX-RT implemented the Asynchronous NPU Format Handler (NFH) for non-blocking inference.

Stability & Fixes

  • Critical Multi-Model Fixes (DX-RT): Resolved a critical bug affecting models with multi-output and multi-tail configurations and fixed several multi-tasking and CPU offloading buffer management issues.
  • Pipeline Stability (DX-Stream): Fixed a critical event processing timing issue in dxinputselector that caused compositor pipeline freezes.
  • LPDDR/Boot Stability (DX_FW): Fixed LPDDR frequency display issues after CPU reset, resolved PRBS training fail judge logic, and improved PCIe link-up stability (including RPi5 warm boot).
  • Windows Fixes (DX-APP/DX-RT): Fixed Windows MSBuild warnings using explicit static_cast (DX-APP) and fixed Windows environment compile errors (DX-RT).
  • Compiler Flexibility (DX-COM): Removed restrictions on key operators: Split, Transpose, Reshape, Flatten, and Slice.

New Features & Tools

  • DXNN V8 Model Support: Added support for the V8 DXNN file format and DXNNv8 PPU models across the stack.
  • Windows Support (DX-APP): Added full Windows 10/11 environment support with an automated build script (build.bat).
  • Advanced Diagnostics & Monitoring:
    • DX-RT: Added DX-Fit tuning toolkit, dxbenchmark (performance comparison CLI), and model voltage profiler.
    • DX-Stream: Added GstShark integration for comprehensive pipeline performance analysis.
    • DX_FW: Added Secure Debug and Model Profiling mode.
  • PPU Data Types: DX-APP added support for three new PPU data types: BBOX, POSE, and FACE.
  • DX_COM: Added Partial Compilation support (--compile_input_nodes/--compile_output_nodes).

Known Issues (DX-APP / DX-COM)

  • Accuracy degradation observed in the DeepLabV3 Semantic Segmentation model.
  • DX-Compiler v2.1.0 does not yet support converting face detection and pose estimation models to PPU format.

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v2.0.0 / 2025-09-08​

  • DX-Compiler: v2.0.0
    • DX-COM: v2.0.0
    • DX-TRON: v2.0.0
  • DX-Runtime: v2.0.0
    • DX_FW: v2.1.4
    • NPU Driver: v1.7.1
    • DX-RT: v3.0.0
    • DX-Stream: v2.0.0
    • DX-APP: v2.0.0

Here are the DX-All-Suite v2.0.0 Release Note.

What's New?​

This release marks a significant step forward with new features and major stability improvements.

  • Performance Boost: The new "stop & go" inference function and an increase in DMA channel threads improve processing speed, especially for large models.
  • Enhanced Stability: Critical bug fixes, including a kernel panic and a Python compatibility error, make the platform more reliable across different environments.
  • Powerful New Tools: The new dxtop monitoring tool provides real-time insights into NPU performance, while a USB inference module expands connectivity options.
  • Expanded Model Support: The compiler now supports new operators like ConvTranspose, and most notably, offers partial support for Vision Transformer (ViT) models. This opens up a wider range of AI applications.

Key Updates​

Performance & Efficiency

  • Implemented a new "stop & go" inference function that splits large tiles for better performance.
  • Increased the number of threads for the DeviceOutputWorker from 3 to 4.
  • YOLO post-processing logic was updated to use a RunAsync() + Wait() structure to ensure correct output order.
  • The default build option for DX-RT is now USE_ORT=ON, which enables the CPU task for .dxnn models by default. Add automatic handling of input dummy padding and output dummy slicing when USE_ORT=OFF (build-time or via InferenceOption).

Stability & Fixes

  • Resolved a kernel panic caused by an incorrect NPU channel number.
  • Fixed a build error on Ubuntu 18.04 related to Python 3.6.9 incompatibility by adding automatic installation support for a compatible Python version (3.8.2).
  • Corrected a QSPI read logic bug that could cause underflow.
  • Addressed a processing delay bug in dx-inputselector and fixed a bug in dx_rt that affected multi-tail models.
  • In DX-COM, PPU(Post-Processing Unit) is no longer supported, and there are no current plans to reinstate it.

New Features & Tools

  • Added a new USB inference module.
  • Introduced a new terminal-based monitoring tool called dxtop for real-time NPU usage insights.
  • A new dxrt-cli --errorstat option was added to display detailed PCIe error information.
  • Support for the Softmax, Slice, and ConvTranspose operators was enabled.
  • Partial support for Vision Transformer (ViT) models was added.
  • Implemented a new uninstall script (uninstall.sh) for project cleanup.
  • In DX-RT, add support for both .dxnn file formats: v6 (compiled with dx_com 1.40.2 or later) and v7 (compiled with dx_com 2.x.x).

For detailed updated items, refer to each environment & module's Release Notes.

DX-All-Suite v1.0.0 Initial Release / 2025-07-23​

We're excited to announce the initial release of DX-All-Suite (DX-AS) v1.0.0!

DX-AS is your new integrated environment, bringing together essential frameworks and tools to simplify AI model inference and compilation on DEEPX devices. While you can always install individual tools, DX-AS ensures optimal compatibility by aligning all tool versions for you.

What's Included?​

This initial release provides a comprehensive suite to get you started:

  • Integrated Environment: A unified platform for all your DEEPX AI development needs.
  • Optimal Compatibility: Pre-aligned versions of individual tools to guarantee seamless operation.

Key Documentation​

To help you hit the ground running, we've prepared detailed documentation:

  • Introduction: Get a comprehensive overview of DX-AS.
  • Installation Guide: Step-by-step instructions to set up your environment.
  • Getting Started: A quick guide to begin using DX-AS.
  • Version Compatibility: Information on supported versions and configurations.
  • FAQ: Answers to commonly asked questions.

You can find all these resources and more in the docs directory of the repository.

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